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[bugfix][apachesparkreceiver] Correct inaccurate metric units (#29104)
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**Description:** Replacing inaccurate units for the
spark.job.stage.active and spark.job.stage.result metrics for the Apache
Spark receiver.


**Link to tracking Issue:**
[29104](#29104)

**Testing:** N/A

**Documentation:** Documentation for the metadata.yaml file was updated
accordingly.
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mrsillydog committed Nov 14, 2023
1 parent 546340d commit bf6edaf
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Showing 7 changed files with 39 additions and 12 deletions.
27 changes: 27 additions & 0 deletions .chloggen/fix-spark-custom-unit.yaml
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# Use this changelog template to create an entry for release notes.

# One of 'breaking', 'deprecation', 'new_component', 'enhancement', 'bug_fix'
change_type: 'bug_fix'

# The name of the component, or a single word describing the area of concern, (e.g. filelogreceiver)
component: apachesparkreceiver

# A brief description of the change. Surround your text with quotes ("") if it needs to start with a backtick (`).
note: Replacing inaccurate units for the spark.job.stage.active and spark.job.stage.result metrics for the Apache Spark receiver.

# Mandatory: One or more tracking issues related to the change. You can use the PR number here if no issue exists.
issues: [29104]

# (Optional) One or more lines of additional information to render under the primary note.
# These lines will be padded with 2 spaces and then inserted directly into the document.
# Use pipe (|) for multiline entries.
subtext:

# If your change doesn't affect end users or the exported elements of any package,
# you should instead start your pull request title with [chore] or use the "Skip Changelog" label.
# Optional: The change log or logs in which this entry should be included.
# e.g. '[user]' or '[user, api]'
# Include 'user' if the change is relevant to end users.
# Include 'api' if there is a change to a library API.
# Default: '[user]'
change_logs: [user]
4 changes: 2 additions & 2 deletions receiver/apachesparkreceiver/documentation.md
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Expand Up @@ -406,15 +406,15 @@ Number of active stages in this job.

| Unit | Metric Type | Value Type | Aggregation Temporality | Monotonic |
| ---- | ----------- | ---------- | ----------------------- | --------- |
| { task } | Sum | Int | Cumulative | false |
| { stage } | Sum | Int | Cumulative | false |

### spark.job.stage.result

Number of stages with a specific result in this job.

| Unit | Metric Type | Value Type | Aggregation Temporality | Monotonic |
| ---- | ----------- | ---------- | ----------------------- | --------- |
| { task } | Sum | Int | Cumulative | true |
| { stage } | Sum | Int | Cumulative | true |

#### Attributes

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4 changes: 2 additions & 2 deletions receiver/apachesparkreceiver/metadata.yaml
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Expand Up @@ -416,7 +416,7 @@ metrics:
aggregation_temporality: cumulative
monotonic: false
value_type: int
unit: "{ task }"
unit: "{ stage }"
attributes: []
spark.job.stage.result:
description: Number of stages with a specific result in this job.
Expand All @@ -425,7 +425,7 @@ metrics:
aggregation_temporality: cumulative
monotonic: true
value_type: int
unit: "{ task }"
unit: "{ stage }"
attributes: [job_result]
# metrics
spark.driver.block_manager.disk.usage:
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Expand Up @@ -598,7 +598,7 @@ resourceMetrics:
- asInt: "0"
startTimeUnixNano: "1000000"
timeUnixNano: "2000000"
unit: '{ task }'
unit: '{ stage }'
- description: Number of stages with a specific result in this job.
name: spark.job.stage.result
sum:
Expand Down Expand Up @@ -626,7 +626,7 @@ resourceMetrics:
startTimeUnixNano: "1000000"
timeUnixNano: "2000000"
isMonotonic: true
unit: '{ task }'
unit: '{ stage }'
- description: Number of active tasks in this job.
name: spark.job.task.active
sum:
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Expand Up @@ -1178,7 +1178,7 @@ resourceMetrics:
- asInt: "1"
startTimeUnixNano: "1684786599036141000"
timeUnixNano: "1684786605037452000"
unit: '{ task }'
unit: '{ stage }'
- description: Number of stages with a specific result in this job.
name: spark.job.stage.result
sum:
Expand Down Expand Up @@ -1206,7 +1206,7 @@ resourceMetrics:
startTimeUnixNano: "1684786599036141000"
timeUnixNano: "1684786605037452000"
isMonotonic: true
unit: '{ task }'
unit: '{ stage }'
- description: Number of active tasks in this job.
name: spark.job.task.active
sum:
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